Triple

T8661632
Position Surface form Disambiguated ID Type / Status
Subject Michael Rooker E205560 entity
Predicate appearedIn P795 FINISHED
Object JFK (film) E418439 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: JFK (film) | Statement: [Michael Rooker, appearedIn, JFK (film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JFK (film)
Context triple: [Michael Rooker, appearedIn, JFK (film)]
  • A. JFK (1991 film) chosen
    JFK (1991 film) is an Oliver Stone-directed political thriller that dramatizes the investigation into President John F. Kennedy’s assassination, blending courtroom drama with conspiracy theories.
  • B. JFK
    JFK is John F. Kennedy International Airport, a major international air travel hub serving New York City.
  • C. Kennedy curse
    The Kennedy curse refers to the popular belief that the Kennedy political family is plagued by an unusually high number of tragic and untimely deaths and misfortunes.
  • D. Kennedy
    Kennedy is a given name shared by various notable individuals across fields such as politics, music, and entertainment.
  • E. Kennedy
    Kennedy is a prominent Irish-American political and public-service family best known for producing U.S. President John F. Kennedy and numerous other influential politicians.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc487147248190b5f1bff836a11e68 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccfda1dc8190a3b93b1c7e813f33 completed April 2, 2026, 8:09 p.m.
Created at: March 30, 2026, 6:30 p.m.